10 citations · 14 across the 3 of their papers we have counts for
3 papers
DumbleDR: Predicting User Preferences of Dimensionality Reduction Projection Quality
Cristina Morariu, Adrien Bibal, Rene Cutura +2
A plethora of dimensionality reduction techniques have emerged over the past decades, leaving researchers and analysts with a wide variety of choices for reducing their data, all t…
Impact of Legal Requirements on Explainability in Machine Learning
Adrien Bibal, Michael Lognoul, Alexandre de Streel +1
The requirements on explainability imposed by European laws and their implications for machine learning (ML) models are not always clear. In that perspective, our research analyzes…
Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning
Pieter Delobelle, Paul Temple, Gilles Perrouin +3
Machine learning is being integrated into a growing number of critical systems with far-reaching impacts on society. Unexpected behaviour and unfair decision processes are coming u…